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    5. 4-GEMMASCOPE-TRANSCODER-16K
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    words related to medical research studies and muscle groups, locations, companies and Youtube subscribers

    oai_token-act-pair · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_4/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    }{*}{}
    -0.89
    <bos>
    -0.75
     '{@
    -0.63
     vectorielles
    -0.62
    ']],
    -0.59
     незавершена
    -0.59
     églises
    -0.59
    aderie
    -0.57
     faciles
    -0.57
    ')))
    -0.57
    POSITIVE LOGITS
     NDEBUG
    0.63
    migrationBuilder
    0.61
     <<<<<<<<<<<<<<
    0.59
    PreferredItem
    0.57
     kasarigan
    0.57
    onedDateTime
    0.56
     years
    0.54
    DispatchToProps
    0.53
    页面存档备份
    0.52
    peq
    0.51
    Activations Density 17.190%

    No Known Activations